Learning Relational Representations with Auto-encoding Logic Programs

29 March 2019

Papers citing "Learning Relational Representations with Auto-encoding Logic Programs"

11 / 11 papers shown

Title
Neural Probabilistic Logic Programming in DeepProbLog Robin Manhaeve Sebastijan Dumancic Angelika Kimmig T. Demeester Luc de Raedt NAI 78 553 0 18 Jul 2019
Logical Rule Induction and Theory Learning Using Neural Theorem Proving Andres Campero A. Pareja Tim Klinger J. Tenenbaum Sebastian Riedel NAI AI4CE 101 37 0 06 Sep 2018
RelNN: A Deep Neural Model for Relational Learning Seyed Mehran Kazemi David Poole NAI GNN 38 55 0 07 Dec 2017
Learning Explanatory Rules from Noisy Data Richard Evans Edward Grefenstette 111 483 0 13 Nov 2017
On Inductive Abilities of Latent Factor Models for Relational Learning Théo Trouillon Éric Gaussier C. Dance Guillaume Bouchard 35 19 0 17 Sep 2017
Representation Learning on Graphs: Methods and Applications William L. Hamilton Rex Ying J. Leskovec GNN 147 1,971 0 17 Sep 2017
Adversarial Sets for Regularising Neural Link Predictors Pasquale Minervini T. Demeester Tim Rocktaschel Sebastian Riedel PINN 55 99 0 24 Jul 2017
End-to-End Differentiable Proving Tim Rocktaschel Sebastian Riedel NAI 94 381 0 31 May 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 573 28,964 0 09 Sep 2016
Lifted Rule Injection for Relation Embeddings T. Demeester Tim Rocktaschel Sebastian Riedel NAI 45 144 0 27 Jun 2016
A Review of Relational Machine Learning for Knowledge Graphs Maximilian Nickel Kevin Patrick Murphy Volker Tresp E. Gabrilovich 148 1,572 0 02 Mar 2015